IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i4p606-d205898.html
   My bibliography  Save this article

Analysis of the Peak Load Leveling Mode of a Hybrid Power System with Flywheel Energy Storage in Oil Drilling Rig

Author

Listed:
  • Xingjian Dai

    (Department of Engineering Physics, Tsinghua University, Beijing 100084, China)

  • Kunpeng Wei

    (Department of Engineering Physics, Tsinghua University, Beijing 100084, China)

  • Xiaozhang Zhang

    (Department of Engineering Physics, Tsinghua University, Beijing 100084, China)

Abstract

The load frequently oscillates in large amplitude like pulses when the draw-works lift or lower in the oil well drilling rig, and that makes the diesel engine run uneconomically. A new solution for the pulse load problem is to add a motor/generator set and a flywheel energy storage (FES) unit to the diesel engine mechanical drive system to form a hybrid power system with energy storage. The storage capacity of the power and energy, and the charging-discharging operation modes are discussed for the first time. The engine power output in frequent fluctuation was measured in the oil well drilling engineering practice. The configuration and the theoretical model of the hybrid power system with energy storage and peak load leveling were established. Furthermore, 1% to 12% saving of fuel is possible for the case of single engine in the load leveling running mode compared to bi-engines in a traditional running mode for the peak load between 900 to 1200 kW and the valley load between 200 to 600 kW. The experimental verification of the load leveling with FES confirmed that the diesel engine worked more smoothly with less smoke emission. In addition, 5% to 10% more fuel was consumed in the load leveling test compared to the traditional running mode with the drive-by 800 kW diesel engine. However, 21% fuel saving was obtained in the load leveling test with the drive-by 400 kW diesel generator.

Suggested Citation

  • Xingjian Dai & Kunpeng Wei & Xiaozhang Zhang, 2019. "Analysis of the Peak Load Leveling Mode of a Hybrid Power System with Flywheel Energy Storage in Oil Drilling Rig," Energies, MDPI, vol. 12(4), pages 1-18, February.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:4:p:606-:d:205898
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/4/606/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/4/606/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Díaz-González, Francisco & Sumper, Andreas & Gomis-Bellmunt, Oriol & Villafáfila-Robles, Roberto, 2012. "A review of energy storage technologies for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2154-2171.
    2. Gupta, Ajai & Saini, R.P. & Sharma, M.P., 2011. "Modelling of hybrid energy system—Part II: Combined dispatch strategies and solution algorithm," Renewable Energy, Elsevier, vol. 36(2), pages 466-473.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Andrew J. Hutchinson & Daniel T. Gladwin, 2024. "Standalone and Hybridised Flywheels for Frequency Response Services: A Techno-Economic Feasibility Study," Energies, MDPI, vol. 17(11), pages 1-23, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Guandalini, Giulio & Campanari, Stefano & Romano, Matteo C., 2015. "Power-to-gas plants and gas turbines for improved wind energy dispatchability: Energy and economic assessment," Applied Energy, Elsevier, vol. 147(C), pages 117-130.
    2. Kim, Sunwoo & Choi, Yechan & Park, Joungho & Adams, Derrick & Heo, Seongmin & Lee, Jay H., 2024. "Multi-period, multi-timescale stochastic optimization model for simultaneous capacity investment and energy management decisions for hybrid Micro-Grids with green hydrogen production under uncertainty," Renewable and Sustainable Energy Reviews, Elsevier, vol. 190(PA).
    3. Enevoldsen, Peter & Sovacool, Benjamin K., 2016. "Integrating power systems for remote island energy supply: Lessons from Mykines, Faroe Islands," Renewable Energy, Elsevier, vol. 85(C), pages 642-648.
    4. Cabrera-Tobar, Ana & Bullich-Massagué, Eduard & Aragüés-Peñalba, Mònica & Gomis-Bellmunt, Oriol, 2016. "Review of advanced grid requirements for the integration of large scale photovoltaic power plants in the transmission system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 971-987.
    5. Rodríguez-Gallegos, Carlos D. & Vinayagam, Lokesh & Gandhi, Oktoviano & Yagli, Gokhan Mert & Alvarez-Alvarado, Manuel S. & Srinivasan, Dipti & Reindl, Thomas & Panda, S.K., 2021. "Novel forecast-based dispatch strategy optimization for PV hybrid systems in real time," Energy, Elsevier, vol. 222(C).
    6. Masebinu, S.O. & Akinlabi, E.T. & Muzenda, E. & Aboyade, A.O., 2017. "Techno-economics and environmental analysis of energy storage for a student residence under a South African time-of-use tariff rate," Energy, Elsevier, vol. 135(C), pages 413-429.
    7. Rao, A. Gangoli & van den Oudenalder, F.S.C. & Klein, S.A., 2019. "Natural gas displacement by wind curtailment utilization in combined-cycle power plants," Energy, Elsevier, vol. 168(C), pages 477-491.
    8. Li, Yi & Yu, Hao & Tang, Dong & Li, Yi & Zhang, Guijin & Liu, Yaning, 2022. "A comparison of compressed carbon dioxide energy storage and compressed air energy storage in aquifers using numerical methods," Renewable Energy, Elsevier, vol. 187(C), pages 1130-1153.
    9. Qin, Chao (Chris) & Loth, Eric, 2021. "Isothermal compressed wind energy storage using abandoned oil/gas wells or coal mines," Applied Energy, Elsevier, vol. 292(C).
    10. Jiang, W. & Wang, Y.L. & Zhang, D. & Xie, Y.H., 2020. "Numerical investigation into the energy extraction characteristics of 3D self-induced oscillating foil," Renewable Energy, Elsevier, vol. 148(C), pages 60-71.
    11. Kroniger, Daniel & Madlener, Reinhard, 2014. "Hydrogen storage for wind parks: A real options evaluation for an optimal investment in more flexibility," Applied Energy, Elsevier, vol. 136(C), pages 931-946.
    12. Wang, Chengshan & Liu, Yixin & Li, Xialin & Guo, Li & Qiao, Lei & Lu, Hai, 2016. "Energy management system for stand-alone diesel-wind-biomass microgrid with energy storage system," Energy, Elsevier, vol. 97(C), pages 90-104.
    13. Hirsch, Adam & Parag, Yael & Guerrero, Josep, 2018. "Microgrids: A review of technologies, key drivers, and outstanding issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 402-411.
    14. Souma Chowdhury & Ali Mehmani & Jie Zhang & Achille Messac, 2016. "Market Suitability and Performance Tradeoffs Offered by Commercial Wind Turbines across Differing Wind Regimes," Energies, MDPI, vol. 9(5), pages 1-31, May.
    15. Saher Javaid & Mineo Kaneko & Yasuo Tan, 2021. "Safe Operation Conditions of Electrical Power System Considering Power Balanceability among Power Generators, Loads, and Storage Devices," Energies, MDPI, vol. 14(15), pages 1-27, July.
    16. Meng, Hui & Wang, Meihong & Olumayegun, Olumide & Luo, Xiaobo & Liu, Xiaoyan, 2019. "Process design, operation and economic evaluation of compressed air energy storage (CAES) for wind power through modelling and simulation," Renewable Energy, Elsevier, vol. 136(C), pages 923-936.
    17. Yanjuan Yu & Hongkun Chen & Lei Chen, 2018. "Comparative Study of Electric Energy Storages and Thermal Energy Auxiliaries for Improving Wind Power Integration in the Cogeneration System," Energies, MDPI, vol. 11(2), pages 1-16, January.
    18. Benato, Alberto & Stoppato, Anna, 2018. "Heat transfer fluid and material selection for an innovative Pumped Thermal Electricity Storage system," Energy, Elsevier, vol. 147(C), pages 155-168.
    19. He, Qing & Li, Guoqing & Lu, Chang & Du, Dongmei & Liu, Wenyi, 2019. "A compressed air energy storage system with variable pressure ratio and its operation control," Energy, Elsevier, vol. 169(C), pages 881-894.
    20. He, Wei & Wang, Jihong, 2017. "Feasibility study of energy storage by concentrating/desalinating water: Concentrated Water Energy Storage," Applied Energy, Elsevier, vol. 185(P1), pages 872-884.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:4:p:606-:d:205898. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.